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pro vyhledávání: '"Harras, Khaled"'
Autor:
Shakeri, Reza, Al-Garadi, Mohammed Ali, Badawy, Ahmed, Mohamed, Amr, Khattab, Tamer, Al-Ali, Abdulla, Harras, Khaled A., Guizani, Mohsen
Unmanned Aerial Vehicles (UAVs) have recently rapidly grown to facilitate a wide range of innovative applications that can fundamentally change the way cyber-physical systems (CPSs) are designed. CPSs are a modern generation of systems with synergic
Externí odkaz:
http://arxiv.org/abs/1810.09729
Autor:
Saeed, Ahmed, Zhao, Yimeng, Dukkipati, Nandita, Ammar, Mostafa, Zegura, Ellen, Harras, Khaled, Vahdat, Amin
Packet scheduling determines the ordering of packets in a queuing data structure with respect to some ranking function that is mandated by a scheduling policy. It is the core component in many recent innovations to optimize network performance and ut
Externí odkaz:
http://arxiv.org/abs/1810.03060
Publikováno v:
IEEE International Workshop on Machine Learning for Signal Processing (MLSP) 27 (2017) 1-6
Having knowledge of the environmental context of the user i.e. the knowledge of the users' indoor location and the semantics of their environment, can facilitate the development of many of location-aware applications. In this paper, we propose an aco
Externí odkaz:
http://arxiv.org/abs/1710.08684
In this paper, we present a joint compression and classification approach of EEG and EMG signals using a deep learning approach. Specifically, we build our system based on the deep autoencoder architecture which is designed not only to extract discri
Externí odkaz:
http://arxiv.org/abs/1703.08970
Autor:
Saeed, Ahmed, Abdelkader, Ahmed, Khan, Mouhyemen, Neishaboori, Azin, Harras, Khaled A., Mohamed, Amr
Low-cost mini-drones with advanced sensing and maneuverability enable a new class of intelligent sensing systems. To achieve the full potential of such drones, it is necessary to develop new enhanced formulations of both common and emerging sensing s
Externí odkaz:
http://arxiv.org/abs/1702.03456
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One of the main methods for interacting with mobile devices today is the error-prone and inflexible touch-screen keyboard. This paper proposes MagBoard: a homomorphic ubiquitous keyboard for mobile devices. MagBoard allows application developers and
Externí odkaz:
http://arxiv.org/abs/1605.00284
Publikováno v:
In Pervasive and Mobile Computing August 2021 75
Monitoring breathing rates and patterns helps in the diagnosis and potential avoidance of various health problems. Current solutions for respiratory monitoring, however, are usually invasive and/or limited to medical facilities. In this paper, we pro
Externí odkaz:
http://arxiv.org/abs/1505.02388
We present WiGest: a system that leverages changes in WiFi signal strength to sense in-air hand gestures around the user's mobile device. Compared to related work, WiGest is unique in using standard WiFi equipment, with no modi-fications, and no trai
Externí odkaz:
http://arxiv.org/abs/1501.04301